Weipeng Cao
Impact in
- Biomaterials top 5%
- Nanoparticle-Based Drug Delivery
- Artificial Intelligence top 2%
- Machine Learning and ELM
Papers in
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- Machine Learning and ELM 21
- Domain Adaptation and Few-Shot Learning 17
- Neural Networks and Applications 12
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- Multimodal Machine Learning Applications 9
- Face and Expression Recognition 8
- Advanced Neural Network Applications 5
- Co-authors
- Xizhao Wang (11 shared papers)Xing‐Jie Liang (10 shared papers)Zhong Ming (15 shared papers)Jinzhu Gao (4 shared papers)Guozhang Zou (3 shared papers)Xu Zhang (2 shared papers)Ye‐Guang Chen (4 shared papers)Chan Gao (3 shared papers)
- Journals
- Engineering Applications of Artificial Intelligence (3 papers)Neurocomputing (3 papers)International Journal of Machine Learning and Cybernetics (3 papers)Nanoscale (3 papers)Journal of Controlled Release (2 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Weipeng Cao
60 papers receiving 2.3k citations
Weipeng Cao's Hit Papers
Peers
Comparison fields: 5 of 164
- Biomaterials 389
- Artificial Intelligence 497
- Biomedical Engineering 503
- Computer Vision and Pattern Recognition 228
- Molecular Biology 741
Countries citing papers authored by Weipeng Cao
This map shows the geographic impact of Weipeng Cao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Weipeng Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Weipeng Cao more than expected).
Fields of papers citing papers by Weipeng Cao
This network shows the impact of papers produced by Weipeng Cao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Weipeng Cao. The network helps show where Weipeng Cao may publish in the future.
Co-authors
The 25 scholars most cited alongside Weipeng Cao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A review on neural networks with random weights Hit paper breakdown → | 2017 | 357 |
| 2 | 2010 | 335 | |
| 3 | 2011 | 253 | |
| 4 | 2012 | 185 | |
| 5 | 2012 | 160 | |
| 6 | 2013 | 111 | |
| 7 | 2013 | 78 | |
| 8 | 2014 | 73 | |
| 9 | 2014 | 65 | |
| 10 | 2006 | 58 | |
| 11 | 2012 | 52 | |
| 12 | 2014 | 51 | |
| 13 | 2015 | 48 | |
| 14 | 2021 | 42 | |
| 15 | 2020 | 41 | |
| 16 | 2018 | 40 | |
| 17 | 2015 | 36 | |
| 18 | 2017 | 28 | |
| 19 | 2017 | 27 | |
| 20 | 2020 | 27 |
About Weipeng Cao
Weipeng Cao is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology, Information Systems and Biomedical Engineering, having authored 67 papers that have together received 2.4k indexed citations. Recurring topics across this work include Machine Learning and ELM (21 papers), Domain Adaptation and Few-Shot Learning (17 papers), Neural Networks and Applications (12 papers), Multimodal Machine Learning Applications (9 papers), Face and Expression Recognition (8 papers), RNA Interference and Gene Delivery (5 papers), Advanced Neural Network Applications (5 papers) and Autophagy in Disease and Therapy (4 papers). The work is most often cited by research in Biomaterials (389 citations), Artificial Intelligence (497 citations), Biomedical Engineering (503 citations), Computer Vision and Pattern Recognition (228 citations) and Molecular Biology (741 citations). Weipeng Cao has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Xizhao Wang, Xing‐Jie Liang, Zhong Ming, Jinzhu Gao, Guozhang Zou, Xu Zhang, Ye‐Guang Chen, Chan Gao, Sha He and Yuran Huang. Their work appears in journals such as Engineering Applications of Artificial Intelligence, Neurocomputing, International Journal of Machine Learning and Cybernetics, Nanoscale and Journal of Controlled Release.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.